Creating a Model - 2.0 English

Here, a simple MNIST convnet from the Keras vision example is used.

model = keras.Sequential([
    keras.Input(shape=input_shape),
    layers.Conv2D(32, kernel_size=(3, 3), activation="relu"),
    layers.MaxPooling2D(pool_size=(2, 2)),
    layers.Conv2D(64, kernel_size=(3, 3), activation="relu"),
    layers.MaxPooling2D(pool_size=(2, 2)),
    layers.Flatten(), layers.Dropout(0.5),
    layers.Dense(num_classes, activation="softmax"),
])